Aiden Smith (2173104), https://www.kaggle.com/aidenysmith27
Benjamin Palay (1815593), https://www.kaggle.com/benpalayy
Gia Croock (2128541), https://www.kaggle.com/giacroock
Rael Ware (2153459), https://www.kaggle.com/raelware
The titanic is known as one of the most infamous shipwrecks in history. Of the 2240 passengers aboard the ship, at least 1500 died. The titanic machine learning competition by Kaggle presents the objective of predicting whether or not a passenger survived on the titanic. The goal is to train machine learning models so that they know how certain features affect the survival of a passenger. We are giving a training set and a testing set, with the feature correlations must be derived and the models intially tested only on the training set.
import pandas as pd
import numpy as np
import missingno
from collections import Counter
# Data visualisation
import seaborn as sns
import matplotlib.pyplot as plt
# Data preprocessing
from sklearn.preprocessing import OneHotEncoder, LabelEncoder
# Machine learning models
from sklearn.linear_model import LogisticRegression, Perceptron, SGDClassifier
from sklearn.svm import SVC, LinearSVC
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.tree import DecisionTreeClassifier
from sklearn.neural_network import MLPClassifier
from catboost import CatBoostClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from numpy import array
import matplotlib.pyplot as pl
from sklearn.ensemble import VotingClassifier
# Model evaluation
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import learning_curve
from sklearn.model_selection import RepeatedStratifiedKFold
# Tuning
from sklearn.feature_selection import RFECV
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import RandomizedSearchCV
# Remove warnings
import warnings
warnings.filterwarnings('ignore')
train = pd.read_csv("train.csv")
test = pd.read_csv("test.csv")
train.head()
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 0 | 3 | Braund, Mr. Owen Harris | male | 22.0 | 1 | 0 | A/5 21171 | 7.2500 | NaN | S |
| 1 | 2 | 1 | 1 | Cumings, Mrs. John Bradley (Florence Briggs Th... | female | 38.0 | 1 | 0 | PC 17599 | 71.2833 | C85 | C |
| 2 | 3 | 1 | 3 | Heikkinen, Miss. Laina | female | 26.0 | 0 | 0 | STON/O2. 3101282 | 7.9250 | NaN | S |
| 3 | 4 | 1 | 1 | Futrelle, Mrs. Jacques Heath (Lily May Peel) | female | 35.0 | 1 | 0 | 113803 | 53.1000 | C123 | S |
| 4 | 5 | 0 | 3 | Allen, Mr. William Henry | male | 35.0 | 0 | 0 | 373450 | 8.0500 | NaN | S |
test.head()
| PassengerId | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 892 | 3 | Kelly, Mr. James | male | 34.5 | 0 | 0 | 330911 | 7.8292 | NaN | Q |
| 1 | 893 | 3 | Wilkes, Mrs. James (Ellen Needs) | female | 47.0 | 1 | 0 | 363272 | 7.0000 | NaN | S |
| 2 | 894 | 2 | Myles, Mr. Thomas Francis | male | 62.0 | 0 | 0 | 240276 | 9.6875 | NaN | Q |
| 3 | 895 | 3 | Wirz, Mr. Albert | male | 27.0 | 0 | 0 | 315154 | 8.6625 | NaN | S |
| 4 | 896 | 3 | Hirvonen, Mrs. Alexander (Helga E Lindqvist) | female | 22.0 | 1 | 1 | 3101298 | 12.2875 | NaN | S |
The data provided is split into two groups: 1) The training set (train.csv) 2) The testing set (test.csv)
The training set includes a survival column which indicates whether or not the passenger survived. This data set is used to create the machine learning model. The testing set is used to determine how well the model (generated from the training data set) performs on new unseen data. The testing data set does not provide the passengers' survival status. The model generated predicts the passengers' survival status.
The table below provides all the relevant information about the columns in the data sets:
| Column Name | Description | Key |
|---|---|---|
| PassengerId | Passenger Identity | |
| Survived | Passenger survival status | 0 = No, 1 = Yes |
| Pclass | Ticket class, a representation of socio-economic status (SES) | 1 = 1st class, 2 = 2nd class, 3 = 3rd class |
| Name | Passenger's name | |
| Sex | Passenger's sex | |
| Age | Passengers age (in years) | |
| SibSp | Number of sibling and/or spouse travelling with passenger | |
| Parch | Number of parent and/or children travelling with passenger | |
| Ticket | Ticket number | |
| Fare | Price of the ticket | |
| Cabin | Cabin number | |
| Embarked | Point of embarkation | C = Cherbourg, Q = Queenstown, S = Southampton |
More information can be found under the data
Exploratory data analysis is used to gain insight on the data provided. This is achieved by using visualisation tools such as graphs and tables. It will allow us to understand the data and derive preliminary conclusions. Furthermore, it will summerise important trends, characteristics, and abnormalities in the dataset which will ultimately aid in training the model.
The following is explored and analysed:
# Non-null count and data types of the training
train.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 891 entries, 0 to 890 Data columns (total 12 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 PassengerId 891 non-null int64 1 Survived 891 non-null int64 2 Pclass 891 non-null int64 3 Name 891 non-null object 4 Sex 891 non-null object 5 Age 714 non-null float64 6 SibSp 891 non-null int64 7 Parch 891 non-null int64 8 Ticket 891 non-null object 9 Fare 891 non-null float64 10 Cabin 204 non-null object 11 Embarked 889 non-null object dtypes: float64(2), int64(5), object(5) memory usage: 83.7+ KB
Observation: The training-set has 891 rows and 11 features including the target variable (survived). 2 of the features are floats, 5 are integers and 5 are objects. When training, the model requires the data to all be in the form of numbers, therefore these columns will be converted later on.
print("The shape of the training data set: ", train.shape)
print("The shape of the testing data set: ", test.shape)
The shape of the training data set: (891, 12) The shape of the testing data set: (418, 11)
Observation: The testing data set has one column less column than the training data set (the Survived column). As discussed above in section 3, survived is our response/target variable and will therefore be determined from the model derived from the training data.
#Determine what percentage of data is missing values in each column of the training dataset
totalNumberOfDataPoints = train.isnull().sum().sort_values(ascending=False)
percentMissing = train.isnull().sum()/train.isnull().count()*100
percentMissingRounded = (round(percentMissing, 1)).sort_values(ascending=False)
missingData = pd.concat([totalNumberOfDataPoints, percentMissingRounded], axis=1, keys=['Total missing', '%'])
missingData.head(13)
| Total missing | % | |
|---|---|---|
| Cabin | 687 | 77.1 |
| Age | 177 | 19.9 |
| Embarked | 2 | 0.2 |
| PassengerId | 0 | 0.0 |
| Survived | 0 | 0.0 |
| Pclass | 0 | 0.0 |
| Name | 0 | 0.0 |
| Sex | 0 | 0.0 |
| SibSp | 0 | 0.0 |
| Parch | 0 | 0.0 |
| Ticket | 0 | 0.0 |
| Fare | 0 | 0.0 |
#Determine what percentage of data is missing values in each column of the testing dataset
totalNumberOfDataPoints = test.isnull().sum().sort_values(ascending=False)
percentMissing = test.isnull().sum()/test.isnull().count()*100
percentMissingRounded = (round(percentMissing, 1)).sort_values(ascending=False)
missingData = pd.concat([totalNumberOfDataPoints, percentMissingRounded], axis=1, keys=['Total missing', '%'])
missingData.head(13)
| Total missing | % | |
|---|---|---|
| Cabin | 327 | 78.2 |
| Age | 86 | 20.6 |
| Fare | 1 | 0.2 |
| PassengerId | 0 | 0.0 |
| Pclass | 0 | 0.0 |
| Name | 0 | 0.0 |
| Sex | 0 | 0.0 |
| SibSp | 0 | 0.0 |
| Parch | 0 | 0.0 |
| Ticket | 0 | 0.0 |
| Embarked | 0 | 0.0 |
Observation: From the two tables above it can be seen that the training set has missing values in the Cabin, Age and Embarked columns. The testing dataset has missing values in the Cabin, Age and Fare columns. For the training dataset, the Embarked column only contains two missing values which can be easily dropped or filled. The Age column on the other hand has 177 missing values. We therefore, cannot drop the rows which have missing values in the age column as this will eliminate 20% of the training data. Therefore, these values need to be filled in. The approach taken to fill in the missing values is discussed below in section 5.2. Since the Cabin column is missing 77% of data points, we have decided to drop this column.
# Summary of the statistics for the training data set
train.describe()
| PassengerId | Survived | Pclass | Age | SibSp | Parch | Fare | |
|---|---|---|---|---|---|---|---|
| count | 891.000000 | 891.000000 | 891.000000 | 714.000000 | 891.000000 | 891.000000 | 891.000000 |
| mean | 446.000000 | 0.383838 | 2.308642 | 29.699118 | 0.523008 | 0.381594 | 32.204208 |
| std | 257.353842 | 0.486592 | 0.836071 | 14.526497 | 1.102743 | 0.806057 | 49.693429 |
| min | 1.000000 | 0.000000 | 1.000000 | 0.420000 | 0.000000 | 0.000000 | 0.000000 |
| 25% | 223.500000 | 0.000000 | 2.000000 | 20.125000 | 0.000000 | 0.000000 | 7.910400 |
| 50% | 446.000000 | 0.000000 | 3.000000 | 28.000000 | 0.000000 | 0.000000 | 14.454200 |
| 75% | 668.500000 | 1.000000 | 3.000000 | 38.000000 | 1.000000 | 0.000000 | 31.000000 |
| max | 891.000000 | 1.000000 | 3.000000 | 80.000000 | 8.000000 | 6.000000 | 512.329200 |
The table above gives an overview of the central tendencies of the numeric data in the testing dataset.
Observations:
For feature analysis the training dataset will be split into two categories: 1) Categorical variables 2) Numerical variables
Categorical variables have values belonging to one of two or more categories. Numerical variables have a continuous distribution. Identifying which variables are categorical and which variables are numerical will hel structure the data analysis properly. For example it makes no sense to determine the average of a categorical variable such as sex or class. Furthermore, sex, class and embarked have no intrinsic ordering to its value.
In this data set the categorical variables are: 1) Sex 2) Pclass 3) Embarked.
# Value counts of the sex column
train['Sex'].value_counts(dropna = False)
male 577 female 314 Name: Sex, dtype: int64
Observation: There are 263 more male passengers than female passengers in the training dataset. Therefore there it is assumend that the test dataset will have a similiar distribution of sex.
# Mean of survival according to sex
train[['Sex', 'Survived']].groupby('Sex', as_index = False).mean().sort_values(by = 'Survived', ascending = False)
| Sex | Survived | |
|---|---|---|
| 0 | female | 0.742038 |
| 1 | male | 0.188908 |
# visualisation for the probability of survival according to sex
sns.barplot(x = 'Sex', y ='Survived', data = train)
plt.ylabel('Probability of survival')
plt.title('Survival Probability by Sex')
Text(0.5, 1.0, 'Survival Probability by Sex')
Observation: Female passengers are more likely to survive.
# Value counts of the Pclass column in the training dataset
train['Pclass'].value_counts(dropna = False)
3 491 1 216 2 184 Name: Pclass, dtype: int64
# Mean of survival by passenger class in the training dataset
train[['Pclass', 'Survived']].groupby(['Pclass'], as_index = False).mean().sort_values(by = 'Survived', ascending = False)
| Pclass | Survived | |
|---|---|---|
| 0 | 1 | 0.629630 |
| 1 | 2 | 0.472826 |
| 2 | 3 | 0.242363 |
#Pclass distributions for survived and not survived
ax=sns.kdeplot(train.loc[(train['Survived'] == 0),'Pclass'],shade=True,color='r',label='Not Survived')
ax.legend()
ax=sns.kdeplot(train.loc[(train['Survived'] == 1),'Pclass'],shade=True,color='b',label='Survived')
ax.legend()
plt.title("Passenger Class Distribution - Survived vs Non-Survived", fontsize = 25)
labels = ['First', 'Second', 'Third']
plt.xticks(sorted(train.Pclass.unique()),labels);
sns.barplot(x = 'Pclass', y ='Survived', data = train)
plt.ylabel('Survival Probability')
plt.title('Survival Probability by Passenger Class')
Text(0.5, 1.0, 'Survival Probability by Passenger Class')
Observation: The probability of survival decreases with a decrease in passenger class. It can therefore be assumed that first class passengers were prioritised during the evacuation. Evidently, from the two graphs above, Pclass plays an important role in determining whether a passenger did or did not survive. According to the training dataset, 63% of the 1st class passengers survived, 48% of the 2nd class passengers survived and only 24% of the 3rd class passengers survived.
# Survival by gender and passenger class
sns.factorplot(x = 'Pclass', y = 'Survived', hue = 'Sex', data = train, kind = 'bar').despine(left = True)
plt.ylabel('Survival Probability')
plt.title('Survival Probability by Sex and Passenger Class')
Text(0.5, 1.0, 'Survival Probability by Sex and Passenger Class')
Observation:The graph above indicates that in every class, females where always more likely to survive. It can also be seen that males in the first class were more likely to survive than in any other class.
# Value counts of the Embarked column
#NAN is the missing values in Embarked
train['Embarked'].value_counts(dropna = False)
S 644 C 168 Q 77 NaN 2 Name: Embarked, dtype: int64
# Mean of survival by point of embarkation
train[['Embarked', 'Survived']].groupby(['Embarked'], as_index = False).mean().sort_values(by = 'Survived', ascending = False)
| Embarked | Survived | |
|---|---|---|
| 0 | C | 0.553571 |
| 1 | Q | 0.389610 |
| 2 | S | 0.336957 |
#Visualisation for the probability of survival according to point of embarkation
sns.barplot(x = 'Embarked', y ='Survived', data = train)
plt.ylabel('Probability of Survival')
plt.title('Survival Probability by Point of Embarkation')
Text(0.5, 1.0, 'Survival Probability by Point of Embarkation')
Observation: The probability of survival is highest for location C and lowest for location S. Perhaps first class passengers embarked from location C and therefore because first class passengers had a higher chance of survival, location c also has the highest chance of survival. As an alternative perhaps third class passengers embarked from location S and because third class passengers had the lowest chance of survival , location S also has the lowest survival probability. This hypothesis is tested in section 4.2.1.5 below.
#Gia
# Visualisation for the relationship between class and embark
sns.factorplot('Pclass', col = 'Embarked', data = train, kind = 'count')
<seaborn.axisgrid.FacetGrid at 0x7f98acbb5760>
Observation: The hypothesis discussed in section 4.1.2.4 appears to be correct. Location S has majority of the third class passengers and the majority of passengers embarking from location C are first class.
Gia In this dataset, the numerical variables are: 1) SibSp 2) Parch 3) Age 4) Fare
#Heatmap of numerical variables
df_num = train[['Survived','Age','SibSp','Parch','Fare']]
sns.heatmap(df_num.corr(), annot=True,cmap="RdBu")
plt.title("Correlations Among Numeric Features", fontsize = 18);
Observation: The heatmap displayed above shows that Parch and SiSp often travel together.Therefore it will useful to create a byThemselves and a family size feature. we also see that Fare has a pretty large positive correlation to survival, thus it may be an important metric in training the model.
# Value counts of the SibSp column
train['SibSp'].value_counts(dropna = False)
0 608 1 209 2 28 4 18 3 16 8 7 5 5 Name: SibSp, dtype: int64
# Mean of survival by SibSp
train[['SibSp', 'Survived']].groupby('SibSp', as_index = False).mean().sort_values(by = 'Survived', ascending = False)
| SibSp | Survived | |
|---|---|---|
| 1 | 1 | 0.535885 |
| 2 | 2 | 0.464286 |
| 0 | 0 | 0.345395 |
| 3 | 3 | 0.250000 |
| 4 | 4 | 0.166667 |
| 5 | 5 | 0.000000 |
| 6 | 8 | 0.000000 |
#Visualisation for probability of survival according to SiSP
sns.barplot(x = 'SibSp', y ='Survived', data = train)
plt.ylabel('Survival Probability')
plt.title('Survival Probability by SibSp')
Text(0.5, 1.0, 'Survival Probability by SibSp')
# Value counts of the Parch column
train['Parch'].value_counts(dropna = False)
0 678 1 118 2 80 5 5 3 5 4 4 6 1 Name: Parch, dtype: int64
# Mean of survival by Parch
train[['Parch', 'Survived']].groupby('Parch', as_index = False).mean().sort_values(by = 'Survived', ascending = False)
| Parch | Survived | |
|---|---|---|
| 3 | 3 | 0.600000 |
| 1 | 1 | 0.550847 |
| 2 | 2 | 0.500000 |
| 0 | 0 | 0.343658 |
| 5 | 5 | 0.200000 |
| 4 | 4 | 0.000000 |
| 6 | 6 | 0.000000 |
#Visualisation for probability of survival according to Parch
sns.barplot(x = 'Parch', y ='Survived', data = train)
plt.ylabel('Survival Probability')
plt.title('Survival Probability by Parch')
Text(0.5, 1.0, 'Survival Probability by Parch')
# Passenger age distribution
sns.distplot(train['Age'], label = 'Skewness: %.2f'%(train['Age'].skew()))
plt.legend(loc = 'best')
plt.title('Passenger Age Distribution')
Text(0.5, 1.0, 'Passenger Age Distribution')
# Age distribution by survival
sns.FacetGrid(train, col = 'Survived').map(sns.distplot, 'Age')
<seaborn.axisgrid.FacetGrid at 0x7f98ad541970>
sns.kdeplot(train['Age'][train['Survived'] == 0], label = 'Did not survive')
sns.kdeplot(train['Age'][train['Survived'] == 1], label = 'Survived')
plt.xlabel('Age')
plt.legend()
plt.title('Passenger Age Distribution by Survival')
Text(0.5, 1.0, 'Passenger Age Distribution by Survival')
# Passenger fare distribution
sns.distplot(train['Fare'], label = 'Skewness: %.2f'%(train['Fare'].skew()))
plt.legend(loc = 'best')
plt.ylabel('Passenger Fare Distribution')
Text(0, 0.5, 'Passenger Fare Distribution')
Observation: The majority of passengers paid low fares where there are few people who paid very large fares.
sns.FacetGrid(train, col = 'Survived').map(sns.distplot, 'Fare')
<seaborn.axisgrid.FacetGrid at 0x7f98adcf4520>
sns.kdeplot(train['Fare'][train['Survived'] == 0], label = 'Did not survive')
sns.kdeplot(train['Fare'][train['Survived'] == 1], label = 'Survived')
plt.xlabel('Fare')
plt.legend()
plt.title('Passenger Fare Distribution by Survival')
Text(0.5, 1.0, 'Passenger Fare Distribution by Survival')
sns.heatmap(train[['Survived', 'SibSp', 'Parch', 'Age', 'Fare','Pclass']].corr(), annot = True, fmt = '.2f', cmap='RdBu')
<AxesSubplot:>
Observation: Fare appears to have a high correlation with survival and Pclass has a high ngeative correlation with survival.
Now that we know what features are correlated and some other important factors, we can get the dataset into a form to be modelled and trained. This includes:
Apply a log transformation to fair as it has a high right-skewnewss
# fare distribution
sns.distplot(train['Fare'], label = 'Skewness: %.2f'%(train['Fare'].skew()))
plt.legend(loc = 'best')
plt.title('Passenger Fare Distribution')
Text(0.5, 1.0, 'Passenger Fare Distribution')
# In order to reduce skewness in fare, apply log transformation
# In order to not lose the single missing value , we fill it now with the median fare
# Fill missing value for Fare
median = test['Fare'].dropna().median()
test['Fare'].fillna(median, inplace = True)
train['Fare'] = train['Fare'].map(lambda x: np.log(x) if x > 0 else 0)
test['Fare'] = test['Fare'].map(lambda x: np.log(x) if x > 0 else 0)
# After log transformation
sns.distplot(train['Fare'], label = 'Skewness: %.2f'%(train['Fare'].skew()))
plt.legend(loc = 'best')
plt.title('Fare Distribution After Log Transformation')
Text(0.5, 1.0, 'Fare Distribution After Log Transformation')
Outliers are points in the dataset that don't conform with majority of the data (they are extreme values). Outliers need to be addressed as they tend to skew data and can cause inaccurate model predictions. The Tukey method is used to detect these outliers. Outliers can only be determined for numeric data.
# Drop outliers
def detect_outliers(df, n, features):
""""
This function loops through the list of features and detects outliers in each feature. A data point is considered to be
an outlier if it is less than Q1-1.5*IQR or if it is greater than Q3+1.5*IQR. Once the outliers have been determined for
a feature, their indices will be stored in a list and then the loop will proceed to the next feature. This process repeats
until the last feature is complete. Finally, using the list with the indices of the outliers, the frequency of outliers is
determined and if the frequency is greater than n then the list fill be returned.
"""
outlierIndices = []
for col in features:
Q1 = np.percentile(df[col], 25)
Q3 = np.percentile(df[col], 75)
IQR = Q3 - Q1
outlierStep = 1.5 * IQR
outlierList = df[(df[col] < Q1 - outlierStep) | (df[col] > Q3 + outlierStep)].index
outlierIndices.extend(outlierList)
outlierIndices = Counter(outlierIndices)
multipleOutliers = list(key for key, value in outlierIndices.items() if value > n)
return multipleOutliers
outliers_to_drop_test = detect_outliers(test, 2, ['Age', 'SibSp', 'Parch', 'Fare'])
outliers_to_drop = detect_outliers(train, 2, ['Age', 'SibSp', 'Parch', 'Fare'])
print("The indices where outliers occur are {}: ".format(len(outliers_to_drop)), outliers_to_drop)
print("Train Set Before: {} rows".format(len(train)))
train = train.drop(outliers_to_drop, axis = 0).reset_index(drop = True)
print("Train Set After: {} rows".format(len(train)))
The indices where outliers occur are 3: [27, 88, 341] Train Set Before: 891 rows Train Set After: 888 rows
# Outliers in numerical variables
#Visualise the 10 rows identified above as rows containing outliers
train.loc[outliers_to_drop, :]
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 27 | 29 | 1 | 3 | O'Dwyer, Miss. Ellen "Nellie" | female | NaN | 0 | 0 | 330959 | 2.064226 | NaN | Q |
| 88 | 91 | 0 | 3 | Christmann, Mr. Emil | male | 29.0 | 0 | 0 | 343276 | 2.085672 | NaN | S |
| 341 | 345 | 0 | 2 | Fox, Mr. Stanley Hubert | male | 36.0 | 0 | 0 | 229236 | 2.564949 | NaN | S |
# Drop ticket and cabin features from training and test set as they are unique or missing many values
train = train.drop(['Ticket', 'Cabin'], axis = 1)
test = test.drop(['Ticket', 'Cabin'], axis = 1)
train.isnull().sum().sort_values(ascending = False)
Age 177 Embarked 2 PassengerId 0 Survived 0 Pclass 0 Name 0 Sex 0 SibSp 0 Parch 0 Fare 0 dtype: int64
# Fill missing value in Embarked with mode as only 3 values
mode = train['Embarked'].dropna().mode()[0]
train['Embarked'].fillna(mode, inplace = True)
test.isnull().sum().sort_values(ascending = False)
Age 86 PassengerId 0 Pclass 0 Name 0 Sex 0 SibSp 0 Parch 0 Fare 0 Embarked 0 dtype: int64
# Check where indeces of missing ages are
age_nan_indices_train = list(train[train['Age'].isnull()].index)
len(age_nan_indices_train)
age_nan_indices_test = list(test[test['Age'].isnull()].index)
Age is negatively correlated with SibSp, Parch and Pclass as shown in section 4. Loop through each of the rows which have the same corresponding values and fill the missing age with their median. Otherwise fill with the Age median.
median_age = train['Age'].median()
for index in age_nan_indices_train:
predict_age = train['Age'][(train['SibSp'] == train.iloc[index]['SibSp'])
& (train['Parch'] == train.iloc[index]['Parch'])
& (train['Pclass'] == train.iloc[index]["Pclass"])].median()
if np.isnan(predict_age):
train['Age'].iloc[index] = median_age
else:
train['Age'].iloc[index] = predict_age
combine = pd.concat([train, test], axis = 0).reset_index(drop = True)
median_age = combine['Age'].median()
for index in age_nan_indices_test:
#use larger sample to fill test data
test['Age'].iloc[index] = median_age
# Make sure there are no more missing ages
print(train['Age'].isnull().sum())
test['Age'].isnull().sum()
0
0
We create new features from existing features to obtain an improved model.
train.head()
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Fare | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 0 | 3 | Braund, Mr. Owen Harris | male | 22.0 | 1 | 0 | 1.981001 | S |
| 1 | 2 | 1 | 1 | Cumings, Mrs. John Bradley (Florence Briggs Th... | female | 38.0 | 1 | 0 | 4.266662 | C |
| 2 | 3 | 1 | 3 | Heikkinen, Miss. Laina | female | 26.0 | 0 | 0 | 2.070022 | S |
| 3 | 4 | 1 | 1 | Futrelle, Mrs. Jacques Heath (Lily May Peel) | female | 35.0 | 1 | 0 | 3.972177 | S |
| 4 | 5 | 0 | 3 | Allen, Mr. William Henry | male | 35.0 | 0 | 0 | 2.085672 | S |
#Title from name column
train['Title'] = [name.split(',')[1].split('.')[0].strip() for name in train['Name']]
train[['Name', 'Title']].head()
test['Title'] = [name.split(',')[1].split('.')[0].strip() for name in test['Name']]
test[['Name', 'Title']].head()
| Name | Title | |
|---|---|---|
| 0 | Kelly, Mr. James | Mr |
| 1 | Wilkes, Mrs. James (Ellen Needs) | Mrs |
| 2 | Myles, Mr. Thomas Francis | Mr |
| 3 | Wirz, Mr. Albert | Mr |
| 4 | Hirvonen, Mrs. Alexander (Helga E Lindqvist) | Mrs |
# Value counts of Title
train['Title'].value_counts()
Mr 516 Miss 180 Mrs 125 Master 40 Dr 7 Rev 6 Mlle 2 Major 2 Col 2 the Countess 1 Capt 1 Ms 1 Sir 1 Lady 1 Mme 1 Don 1 Jonkheer 1 Name: Title, dtype: int64
# visualise the testing titles
test['Title'].value_counts()
Mr 240 Miss 78 Mrs 72 Master 21 Col 2 Rev 2 Ms 1 Dr 1 Dona 1 Name: Title, dtype: int64
Simplify Title as there are several unique titles that do not necessarily have a trend
train['Title'] = train['Title'].replace(['Dr', 'Rev', 'Col', 'Major', 'Lady', 'Jonkheer', 'Don', 'Capt', 'the Countess',
'Sir'], 'Rare')
train['Title'] = train['Title'].replace(['Mlle', 'Ms'], 'Miss')
train['Title'] = train['Title'].replace('Mme', 'Mrs')
test['Title'] = test['Title'].replace(['Dr', 'Rev', 'Col', 'Capt', 'Dona'], 'Rare')
test['Title'] = test['Title'].replace(['Ms'], 'Miss')
Drop the name column as title has been extracted
train = train.drop('Name', axis = 1)
train.head()
test = test.drop('Name', axis = 1)
test.head()
| PassengerId | Pclass | Sex | Age | SibSp | Parch | Fare | Embarked | Title | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 892 | 3 | male | 34.5 | 0 | 0 | 2.057860 | Q | Mr |
| 1 | 893 | 3 | female | 47.0 | 1 | 0 | 1.945910 | S | Mrs |
| 2 | 894 | 2 | male | 62.0 | 0 | 0 | 2.270836 | Q | Mr |
| 3 | 895 | 3 | male | 27.0 | 0 | 0 | 2.159003 | S | Mr |
| 4 | 896 | 3 | female | 22.0 | 1 | 1 | 2.508582 | S | Mrs |
train[['Title', 'Survived']].groupby(['Title'], as_index = False).mean().sort_values(by = 'Survived', ascending = False)
| Title | Survived | |
|---|---|---|
| 3 | Mrs | 0.793651 |
| 1 | Miss | 0.699454 |
| 0 | Master | 0.575000 |
| 4 | Rare | 0.347826 |
| 2 | Mr | 0.156977 |
Observation: Woman and young males had a high chance of survival.
Simplify and summarize data to show if passenegers were alone, as opposed to information about both siblings and parents
train['FamilySize'] = train['SibSp'] + train['Parch'] + 1
train[['SibSp', 'Parch', 'FamilySize']].head()
test['FamilySize'] = test['SibSp'] + test['Parch'] + 1
test[['SibSp', 'Parch', 'FamilySize']].head()
| SibSp | Parch | FamilySize | |
|---|---|---|---|
| 0 | 0 | 0 | 1 |
| 1 | 1 | 0 | 2 |
| 2 | 0 | 0 | 1 |
| 3 | 0 | 0 | 1 |
| 4 | 1 | 1 | 3 |
# Create byThemselves feature as familySize may have more information than we need, leading to overfitting
train['byThemselves'] = 0
train.loc[train['FamilySize'] == 1, 'byThemselves'] = 1
test['byThemselves'] = 0
test.loc[test['FamilySize'] == 1, 'byThemselves'] = 1
# Drop SibSp, Parch and FamilySize as this is contained in byThemselves
train = train.drop(['SibSp', 'Parch','FamilySize'], axis = 1)
test = test.drop(['SibSp', 'Parch','FamilySize'], axis = 1)
train.head()
| PassengerId | Survived | Pclass | Sex | Age | Fare | Embarked | Title | byThemselves | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 0 | 3 | male | 22.0 | 1.981001 | S | Mr | 0 |
| 1 | 2 | 1 | 1 | female | 38.0 | 4.266662 | C | Mrs | 0 |
| 2 | 3 | 1 | 3 | female | 26.0 | 2.070022 | S | Miss | 1 |
| 3 | 4 | 1 | 1 | female | 35.0 | 3.972177 | S | Mrs | 0 |
| 4 | 5 | 0 | 3 | male | 35.0 | 2.085672 | S | Mr | 1 |
First convert Age into an ordinal variable. Group Ages into 4 age bands
train['AgeBand'] = pd.cut(train['Age'], 4)
test['AgeBand'] = pd.cut(test['Age'], 4)
print(train['AgeBand'].head(10))
0 (20.315, 40.21] 1 (20.315, 40.21] 2 (20.315, 40.21] 3 (20.315, 40.21] 4 (20.315, 40.21] 5 (20.315, 40.21] 6 (40.21, 60.105] 7 (0.34, 20.315] 8 (20.315, 40.21] 9 (0.34, 20.315] Name: AgeBand, dtype: category Categories (4, interval[float64, right]): [(0.34, 20.315] < (20.315, 40.21] < (40.21, 60.105] < (60.105, 80.0]]
train.loc[train['Age'] <= 20.315, 'Age'] = 0
train.loc[(train['Age'] > 20.315) & (train['Age'] <= 40.21), 'Age'] = 1
train.loc[(train['Age'] > 40.21) & (train['Age'] <= 60.105), 'Age'] = 2
train.loc[train['Age'] > 60.105,'Age'] = 3
test.loc[test['Age'] <= 20.315, 'Age'] = 0
test.loc[(test['Age'] > 20.315) & (test['Age'] <= 40.21), 'Age'] = 1
test.loc[(test['Age'] > 40.21) & (test['Age'] <= 60.105), 'Age'] = 2
test.loc[test['Age'] > 60.105,'Age'] = 3
# Drop age band feature
train = train.drop('AgeBand', axis = 1)
test = test.drop('AgeBand', axis = 1)
# Convert ordinal Age into integer
train['Age'] = train['Age'].astype('int')
test['Age'] = test['Age'].astype('int')
train['Age'].dtype
dtype('int64')
# Create Age*Class
train['Age*Class'] = train['Age'] * train['Pclass']
test['Age*Class'] = test['Age'] * test['Pclass']
train[['Age', 'Pclass', 'Age*Class']].head()
| Age | Pclass | Age*Class | |
|---|---|---|---|
| 0 | 1 | 3 | 3 |
| 1 | 1 | 1 | 1 |
| 2 | 1 | 3 | 3 |
| 3 | 1 | 1 | 1 |
| 4 | 1 | 3 | 3 |
# Bin Fare
train['FareBand'] = pd.qcut(train['Fare'], 4)
test['FareBand'] = pd.qcut(test['Fare'], 4)
train['FareBand'].head(10)
0 (-0.001, 2.066] 1 (3.427, 6.239] 2 (2.066, 2.671] 3 (3.427, 6.239] 4 (2.066, 2.671] 5 (2.066, 2.671] 6 (3.427, 6.239] 7 (2.671, 3.427] 8 (2.066, 2.671] 9 (2.671, 3.427] Name: FareBand, dtype: category Categories (4, interval[float64, right]): [(-0.001, 2.066] < (2.066, 2.671] < (2.671, 3.427] < (3.427, 6.239]]
#ordinal encoding, simliar to age
train.loc[train['Fare'] <= 2.066, 'Fare'] = 0
train.loc[(train['Fare'] > 2.066) & (train['Fare'] <= 2.671), 'Fare'] = 1
train.loc[(train['Fare'] > 2.671) & (train['Fare'] <= 3.418), 'Fare'] = 2
train.loc[train['Fare'] > 3.418, 'Fare'] = 3
test.loc[test['Fare'] <= 2.066, 'Fare'] = 0
test.loc[(test['Fare'] > 2.066) & (test['Fare'] <= 2.671), 'Fare'] = 1
test.loc[(test['Fare'] > 2.671) & (test['Fare'] <= 3.418), 'Fare'] = 2
test.loc[test['Fare'] > 3.418, 'Fare'] = 3
train = train.drop(['FareBand'], axis = 1)
test = test.drop(['FareBand'], axis = 1)
# Convert Fare into integer
train['Fare'] = train['Fare'].astype('int')
test['Fare'] = test['Fare'].astype('int')
Variables must be numeric to use for machine learning. Age and Fare were done when Binning.
train.head()
| PassengerId | Survived | Pclass | Sex | Age | Fare | Embarked | Title | byThemselves | Age*Class | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 0 | 3 | male | 1 | 0 | S | Mr | 0 | 3 |
| 1 | 2 | 1 | 1 | female | 1 | 3 | C | Mrs | 0 | 1 |
| 2 | 3 | 1 | 3 | female | 1 | 1 | S | Miss | 1 | 3 |
| 3 | 4 | 1 | 1 | female | 1 | 3 | S | Mrs | 0 | 1 |
| 4 | 5 | 0 | 3 | male | 1 | 1 | S | Mr | 1 | 3 |
label = LabelEncoder()
train['Embarked'] = label.fit_transform(train['Embarked'])
test['Embarked'] = label.fit_transform(test['Embarked'])
train['Title'] = label.fit_transform(train['Title'])
test['Title'] = label.fit_transform(test['Title'])
train['Sex'] = train['Sex'].map({'male': 0, 'female': 1})
test['Sex'] = test['Sex'].map({'male': 0, 'female': 1})
train.head()
| PassengerId | Survived | Pclass | Sex | Age | Fare | Embarked | Title | byThemselves | Age*Class | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 0 | 3 | 0 | 1 | 0 | 2 | 2 | 0 | 3 |
| 1 | 2 | 1 | 1 | 1 | 1 | 3 | 0 | 3 | 0 | 1 |
| 2 | 3 | 1 | 3 | 1 | 1 | 1 | 2 | 1 | 1 | 3 |
| 3 | 4 | 1 | 1 | 1 | 1 | 3 | 2 | 3 | 0 | 1 |
| 4 | 5 | 0 | 3 | 0 | 1 | 1 | 2 | 2 | 1 | 3 |
train = train.drop('PassengerId', axis = 1)
train.head()
| Survived | Pclass | Sex | Age | Fare | Embarked | Title | byThemselves | Age*Class | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 3 | 0 | 1 | 0 | 2 | 2 | 0 | 3 |
| 1 | 1 | 1 | 1 | 1 | 3 | 0 | 3 | 0 | 1 |
| 2 | 1 | 3 | 1 | 1 | 1 | 2 | 1 | 1 | 3 |
| 3 | 1 | 1 | 1 | 1 | 3 | 2 | 3 | 0 | 1 |
| 4 | 0 | 3 | 0 | 1 | 1 | 2 | 2 | 1 | 3 |
train['Survived'] = train['Survived'].astype('int')
train.head()
| Survived | Pclass | Sex | Age | Fare | Embarked | Title | byThemselves | Age*Class | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 3 | 0 | 1 | 0 | 2 | 2 | 0 | 3 |
| 1 | 1 | 1 | 1 | 1 | 3 | 0 | 3 | 0 | 1 |
| 2 | 1 | 3 | 1 | 1 | 1 | 2 | 1 | 1 | 3 |
| 3 | 1 | 1 | 1 | 1 | 3 | 2 | 3 | 0 | 1 |
| 4 | 0 | 3 | 0 | 1 | 1 | 2 | 2 | 1 | 3 |
test.head()
| PassengerId | Pclass | Sex | Age | Fare | Embarked | Title | byThemselves | Age*Class | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 892 | 3 | 0 | 1 | 0 | 1 | 2 | 1 | 3 |
| 1 | 893 | 3 | 1 | 2 | 0 | 2 | 3 | 0 | 6 |
| 2 | 894 | 2 | 0 | 3 | 1 | 1 | 2 | 1 | 6 |
| 3 | 895 | 3 | 0 | 1 | 1 | 2 | 2 | 1 | 3 |
| 4 | 896 | 3 | 1 | 1 | 1 | 2 | 3 | 0 | 3 |
sns.heatmap(train[['Survived', 'Pclass', 'Sex', 'Age', 'Fare','Embarked','Title','byThemselves','Age*Class']].corr(), annot = True, fmt = '.2f', cmap='RdBu')
<AxesSubplot:>
After data preprocessing, we can see how all of the new and remaining features are correlated in the figure above. Clearly sex has the greatest correlation with survived.
For the modelling part of this project we will utilise the Scikit-learn library for machine learning.
As discussed above, this is a classfication problem, so consequently will use classfication models for our training. We have chosen to investigate the performance of the following classifiers as these are commonly used classifiers:
In this section , we will fit the models to the training data set and evaluate the models' prediction accuracy. Further on we will implement feature tuning and hyperparameter tuning to further boost the performance of the the following models:
X_train = train.drop('Survived', axis = 1)
Y_train = train['Survived']
X_test = test.drop('PassengerId', axis = 1).copy()
It is important to not get too carried away with models with impressive training accuracy as what we should focus on instead is the model's ability to predict out-of-samples data, in other words, data our model has not seen before.
This is where k-fold cross validation comes in. K-fold cross validation is a technique whereby a subset of our training set is kept aside and will act as holdout set for testing purposes. Here is a great video explaining the concept in more detail.
We compute the accuracy and cross-entropy log-loss for each algorithm to determine its performance metrics.
# Create a list which contains classifiers
classifiers = [ MLPClassifier(),
LogisticRegression(),
GaussianNB(),
KNeighborsClassifier(n_neighbors = 5),
SVC(),
SGDClassifier(),
LinearSVC(),
RandomForestClassifier(),
]
if len(classifiers) is not 8:
print("error")
cross_val_results = []
cross_val_losses = []
for classifier in classifiers:
cross_val_results.append(cross_val_score(classifier, X_train, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(classifier, X_train, Y_train, scoring = 'neg_log_loss', cv = 5))
# Mean and standard deviation of cross validation results for each classifier
cross_val_mean = []
cross_val_std = []
cross_val_loss_mean =[]
cross_val_loss_std = []
for cross_val_result in cross_val_results:
cross_val_mean.append(cross_val_result.mean())
cross_val_std.append(cross_val_result.std())
for cross_val_loss in cross_val_losses:
cross_val_loss_mean.append(cross_val_loss.mean())
cross_val_loss_std.append(cross_val_loss.std())
#putting our cross val mean and standard deviation for each algorithm into a data frame
cross_val_res = pd.DataFrame({'Cross Validation Mean': cross_val_mean, 'Cross Validation Std': cross_val_std, 'Algorithm': [ 'Multilayer perceptron','Logistic Regression','Naive Bayes', 'K Nearest Neighbours', 'Support Vector Machines', 'Stochastic Gradient Decent', 'Linear SVC', 'Random Forest']})
cross_val_los = pd.DataFrame({'Cross Validation Mean': cross_val_loss_mean, 'Cross Validation Std': cross_val_loss_std, 'Algorithm': [ 'Multilayer perceptron','Logistic Regression','Naive Bayes', 'K Nearest Neighbours', 'Support Vector Machines', 'Stochastic Gradient Decent', 'Linear SVC', 'Random Forest']})
print('Table Showing Cross Validation Mean Accuracy')
print(cross_val_res.sort_values(by = 'Cross Validation Mean', ascending = False, ignore_index = True))
print('\nTable Showing Cross Validation Mean Loss')
print(cross_val_los.sort_values(by = 'Cross Validation Mean', ascending = True, ignore_index = True))
Table Showing Cross Validation Mean Accuracy Cross Validation Mean Cross Validation Std Algorithm 0 0.823177 0.019265 Support Vector Machines 1 0.814213 0.030445 Random Forest 2 0.808582 0.021194 Multilayer perceptron 3 0.806316 0.007373 K Nearest Neighbours 4 0.786066 0.014223 Logistic Regression 5 0.786034 0.010095 Linear SVC 6 0.757938 0.038280 Naive Bayes 7 0.690402 0.050621 Stochastic Gradient Decent Table Showing Cross Validation Mean Loss Cross Validation Mean Cross Validation Std Algorithm 0 -1.786652 0.799673 K Nearest Neighbours 1 -1.094779 0.648324 Random Forest 2 -0.631391 0.109492 Naive Bayes 3 -0.463390 0.020620 Logistic Regression 4 -0.441436 0.037594 Multilayer perceptron 5 NaN NaN Support Vector Machines 6 NaN NaN Stochastic Gradient Decent 7 NaN NaN Linear SVC
Observation: Support Vector Machines has the greatest accuracy followed by Random Forest and MLP. However, MLP has the least observable loss and would appear to be the 'best' at first glance.
Nonetheless, 4 algorithms will be tuned below and the scores observed once more.
sns.barplot('Cross Validation Mean', 'Algorithm', data = cross_val_res, order = cross_val_res.sort_values(by = 'Cross Validation Mean', ascending = False)['Algorithm'], palette = 'Set3', **{'xerr': cross_val_std})
plt.ylabel('Algorithm')
plt.title('Cross Validation Scores')
Text(0.5, 1.0, 'Cross Validation Scores')
sns.barplot('Cross Validation Mean', 'Algorithm', data = cross_val_los, order = cross_val_los.sort_values(by = 'Cross Validation Mean', ascending = False)['Algorithm'], palette = 'Set3', **{'xerr': cross_val_loss_std})
plt.ylabel('Algorithm')
plt.title('Cross Validation Losses')
Text(0.5, 1.0, 'Cross Validation Losses')
The best remaining features can be found for each algorithm and the rest can be dropped for each respective algorithm.
Logistic Regression
# the number of correct classifications (survived or did not survive) is proportional to the "accuracy" scoring
RFECV1 = RFECV(estimator=LogisticRegression(), step=1, cv=10, scoring='accuracy')
RFECV1.fit(X_train, Y_train)
print("Optimal number of features: %d" % RFECV1.n_features_)
print('Selected features: %s' % list(X_train.columns[RFECV1.support_]))
# Plot the number of features VS. the CV scores
plt.xlabel("Number of features that are selected")
plt.ylabel("Cross validation score ")
plt.plot(range(1, len(RFECV1.grid_scores_) + 1), RFECV1.grid_scores_)
plt.show()
Optimal number of features: 6 Selected features: ['Pclass', 'Sex', 'Age', 'Embarked', 'Title', 'Age*Class']
X_train_LR = X_train.drop(['byThemselves', 'Fare'], axis =1).copy()
X_test_LR = X_test.drop(['byThemselves', 'Fare'], axis =1).copy()
Random Forest
RFECV2 = RFECV(estimator=RandomForestClassifier(), step=1, cv=10, scoring='accuracy')
RFECV2.fit(X_train, Y_train)
print("Optimal number of features: %d" % RFECV2.n_features_)
print('Selected features: %s' % list(X_train.columns[RFECV2.support_]))
# Plot the number of features VS. the CV scores
plt.xlabel("Number of features that are selected")
plt.ylabel("Cross validation score ")
plt.plot(range(1, len(RFECV2.grid_scores_) + 1), RFECV2.grid_scores_)
plt.show()
Optimal number of features: 5 Selected features: ['Pclass', 'Sex', 'Fare', 'Title', 'Age*Class']
#based on the above, for Random Forest we should drop 3 columns
X_train_RF = X_train.drop(['Age'], axis =1).copy()
X_test_RF = X_test.drop(['Age'], axis =1).copy()
MLP and KNN have intrinsic feature importance selection and so do not need to have it manually performed.
Hyperparameter tuning is the process of tuning the parameters of a model.
mlp = MLPClassifier(max_iter=50)
param_grid = {'alpha': [1,1e-3,1e-5],
'hidden_layer_sizes': [(50,50,50),(3,), (50,190,3), (64,64,64) ],
'activation': ['tanh','relu','logistic'],
'solver': ['sgd','adam'],
'learning_rate': ['constant','adaptive']
}
grid = GridSearchCV(mlp, param_grid,n_jobs=-1, cv=5)
grid.fit(X_train, Y_train)
MLP_tuned= grid.best_estimator_
MLP_trained_tuned=MLP_tuned.fit(X_train, Y_train)
print("Best parameters: ", grid.best_params_)
Y_pred = MLP_trained_tuned.predict(X_test)
submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': Y_pred})
submit.to_csv("submissionMLP.csv", index = False)
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( /Applications/anaconda3/lib/python3.9/site-packages/sklearn/neural_network/_multilayer_perceptron.py:614: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn(
Best parameters: {'activation': 'relu', 'alpha': 1e-05, 'hidden_layer_sizes': (64, 64, 64), 'learning_rate': 'constant', 'solver': 'adam'}
The multilayer perceptron(MLP) is an Artificial neural network with one or more hidden layers. The MLP has the advantage over the Perceptron algorithm in that it is able to handle non linear mapping of inputs to outputs. The MLP is a feedforward algorithm that performs a weighted summation of the inputs and their respective weights. This summation is then fed into a activation function such as ReLU to determine the output. The output of each of this nodes is then fed into the next hidden layers and then to the output. The MLP also has back propagation which allows it to iteratively adjust the weights in the network to reduce the cost function. The MLP was chosen for hyperparameter tuning as it has one of the highest accuracy scores and one of the lowest standard deviations (Bento, 2021).
Using the GridSearchCV method with the following parameters: a grid of hyperparameters and a K-fold cross validation value. The parameter grid includes the alpha value used for regularization(which reduces overfitting), values for how many nodes in each of the 3 hidden layers , the activation function , the solver used for backpropagation and the learning rate. The gridSearchCV then finds the parameters which result in the highest accurcay (1.17. Neural network models (supervised), n.d.).
Bento, C., 2021. Multilayer Perceptron Explained with a Real-Life Example and Python Code: Sentiment Analysis. [online] Medium. Available at: https://towardsdatascience.com/multilayer-perceptron-explained-with-a-real-life-example-and-python-code-sentiment-analysis-cb408ee93141 [Accessed 14 June 2022].
scikit-learn. n.d. 1.17. Neural network models (supervised). [online] Available at: https://scikit-learn.org/stable/modules/neural_networks_supervised.html [Accessed 14 June 2022].
(Aiden)
leaf_size = list(range(1,50))
n_neighbors = list(range(1,30))
p=[1,2]
hyperparameters = dict(leaf_size=leaf_size, n_neighbors=n_neighbors, p=p)
grid = GridSearchCV(KNeighborsClassifier(), hyperparameters, cv=5,n_jobs=-1 )
grid.fit(X_train, Y_train)
KNN_tuned = grid.best_estimator_
KNN_trained_tuned=KNN_tuned.fit(X_train, Y_train)
survival_predications2=KNN_trained_tuned.predict(X_test)
print("Best parameters: ", grid.best_params_)
Y_pred = KNN_trained_tuned.predict(X_test)
submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': Y_pred})
submit.to_csv("submissionKNN.csv", index = False)
Best parameters: {'leaf_size': 45, 'n_neighbors': 9, 'p': 1}
Explanation
param_grid = {'bootstrap': [True, False],
'max_depth': [10, 20, 40, 60],
'max_features': ['auto', 'sqrt'],
'min_samples_leaf': [1, 2, 4],
'min_samples_split': [2, 5, 10],
'n_estimators': [ 200, 1000,1600 ,1800, 2000]}
#randomzed search to decrease time frame
grid = RandomizedSearchCV(RandomForestClassifier(), param_grid, refit = True, n_iter = 25, cv = 5, verbose=3, n_jobs =-1)
grid.fit(X_train_RF, Y_train)
RF_tuned = grid.best_estimator_
RF_trained_tuned = RF_tuned.fit(X_train_RF, Y_train) #using the feature tuning sets
print("Best parameters: ", grid.best_params_)
Y_pred = RF_trained_tuned.predict(X_test_RF)
submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': Y_pred})
submit.to_csv("submissionRF.csv", index = False)
Fitting 5 folds for each of 25 candidates, totalling 125 fits
[CV 2/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.787 total time= 1.4s
[CV 1/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.792 total time= 1.7s
[CV 4/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.785 total time= 1.7s
[CV 3/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.848 total time= 1.7s
[CV 5/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.842 total time= 1.9s
[CV 3/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.860 total time= 1.6s
[CV 1/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.803 total time= 1.6s
[CV 2/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.803 total time= 1.7s
[CV 4/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.808 total time= 1.1s
[CV 5/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.836 total time= 1.1s
[CV 1/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.787 total time= 8.5s
[CV 2/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.803 total time= 8.6s
[CV 4/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.808 total time= 8.3s
[CV 3/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.860 total time= 8.4s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.787 total time= 7.7s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.848 total time= 7.4s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.798 total time= 7.6s
[CV 5/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=2000;, score=0.842 total time= 9.4s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.808 total time= 5.4s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1800;, score=0.836 total time= 6.0s
[CV 1/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.798 total time= 8.7s
[CV 2/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.803 total time= 8.6s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time= 0.6s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time= 0.6s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.860 total time= 0.6s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.814 total time= 0.6s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.831 total time= 0.6s
[CV 3/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.860 total time= 8.9s
[CV 4/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.808 total time= 8.7s
[CV 5/5] END bootstrap=True, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=2000;, score=0.836 total time= 8.8s
[CV 1/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.792 total time= 9.5s
[CV 2/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.798 total time= 10.4s
[CV 3/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.843 total time= 10.5s
[CV 4/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.785 total time= 10.0s
[CV 5/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1600;, score=0.847 total time= 8.5s
[CV 1/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.798 total time= 8.5s
[CV 2/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.798 total time= 8.2s
[CV 3/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.854 total time= 8.2s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.792 total time= 3.8s
[CV 4/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.808 total time= 7.8s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.787 total time= 3.1s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.843 total time= 3.1s
[CV 5/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1800;, score=0.836 total time= 8.0s
[CV 1/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time= 0.8s
[CV 2/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time= 0.9s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.802 total time= 3.2s
[CV 3/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.860 total time= 0.6s
[CV 4/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.814 total time= 0.6s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000;, score=0.836 total time= 3.2s
[CV 5/5] END bootstrap=False, max_depth=40, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.825 total time= 0.6s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.792 total time= 4.2s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.848 total time= 4.3s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.781 total time= 4.7s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.785 total time= 4.6s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000;, score=0.842 total time= 7.5s
[CV 1/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.787 total time= 9.4s
[CV 2/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.809 total time= 9.2s
[CV 3/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.837 total time= 9.2s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.798 total time= 0.8s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.803 total time= 0.7s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.860 total time= 0.7s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.802 total time= 0.8s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200;, score=0.842 total time= 0.7s
[CV 4/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.808 total time= 5.8s
[CV 5/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.842 total time= 5.7s
[CV 1/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.798 total time= 5.9s
[CV 2/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.809 total time= 5.9s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.792 total time= 0.5s
[CV 3/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.860 total time= 5.9s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.781 total time= 0.5s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.843 total time= 0.5s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.802 total time= 0.6s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200;, score=0.831 total time= 0.6s
[CV 4/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.808 total time= 6.0s
[CV 5/5] END bootstrap=True, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1600;, score=0.847 total time= 5.6s
[CV 1/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.792 total time= 5.5s
[CV 2/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.787 total time= 5.5s
[CV 3/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.843 total time= 6.2s
[CV 4/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.802 total time= 6.3s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.781 total time= 4.4s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.792 total time= 4.3s
[CV 5/5] END bootstrap=False, max_depth=20, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=2000;, score=0.831 total time= 6.8s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.843 total time= 5.1s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.819 total time= 5.6s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000;, score=0.847 total time= 6.1s
[CV 1/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.787 total time= 9.5s
[CV 2/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.809 total time= 8.5s
[CV 3/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.860 total time= 8.1s
[CV 4/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.808 total time= 9.0s
[CV 5/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.831 total time= 9.8s
[CV 1/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.792 total time= 9.2s
[CV 2/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.798 total time= 9.1s
[CV 3/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.860 total time= 7.6s
[CV 4/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.814 total time= 5.9s
[CV 5/5] END bootstrap=False, max_depth=60, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=2000;, score=0.836 total time= 5.9s
[CV 1/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.787 total time= 5.9s
[CV 2/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.792 total time= 6.3s
[CV 3/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.860 total time= 8.6s
[CV 4/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.808 total time= 9.4s
[CV 5/5] END bootstrap=True, max_depth=40, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1600;, score=0.842 total time= 9.7s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.798 total time= 11.2s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.787 total time= 10.6s
[CV 1/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.798 total time= 0.6s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.860 total time= 9.7s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.808 total time= 9.3s
[CV 2/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.792 total time= 0.8s
[CV 3/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.860 total time= 0.9s
[CV 4/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.814 total time= 0.6s
[CV 5/5] END bootstrap=False, max_depth=60, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200;, score=0.847 total time= 0.6s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1800;, score=0.842 total time= 8.6s
[CV 1/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.792 total time= 7.2s
[CV 2/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.798 total time= 7.5s
[CV 3/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.848 total time= 7.6s
[CV 1/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.809 total time= 0.6s
[CV 2/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.809 total time= 0.7s
[CV 3/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.865 total time= 0.7s
[CV 4/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.814 total time= 0.7s
[CV 4/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.797 total time= 7.1s
[CV 5/5] END bootstrap=True, max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200;, score=0.842 total time= 0.8s
[CV 1/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.798 total time= 0.9s
[CV 2/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.798 total time= 0.9s
[CV 3/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.848 total time= 1.3s
[CV 4/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.808 total time= 1.3s
[CV 5/5] END bootstrap=True, max_depth=20, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200;, score=0.853 total time= 1.1s
[CV 5/5] END bootstrap=True, max_depth=60, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1800;, score=0.847 total time= 6.4s
Best parameters: {'n_estimators': 200, 'min_samples_split': 5, 'min_samples_leaf': 2, 'max_features': 'sqrt', 'max_depth': 10, 'bootstrap': True}
The Random Forest algorithm is considered a good classifying model( Dedja et al, 2022). It is a supervised machine learning algorithm. As it was one of the selected algorithms that produced one of the highest cross-validation accuracy scores and one of the lowest cross-validation loss scores, it was chosen to be tuned and retrained. The random forest machine learning algorithm takes the output of multiple decision trees and ‘democratically’ chooses the final outcome (Tibco, 2022).
Decision trees themselves essentially ask true or false questions that lead to a final answer. In other words, each question (for example, ‘male’ or ‘female’?) is a node, and the outcome is a leaf node (Yiu, 2019). The idea is to have results of subgroups that are similar to one another but are different from the other groups (Yiu, 2019). The random forest works well because while some decision trees may be wrong, many others will be correct. Therefore, as a group, the decision trees can move in the right direction (Yiu, 2019). By using a concept known as ‘bagging,’ where each individual decision tree can randomly sample from the training dataset, with replacement, random forest will have different trees and therefore a low correlation between them (Yiu, 2019). The uncorrelated errors between the different trees means that they ‘protect each other’ from their individual errors. This generally results in a precise classifying algorithm overall.
Using the RandomizedSearchCV method for time-efficiency, a grid of hyperparameters can be randomly sampled, with K-Fold cross-validation being performed with each combination of parameter values. The hyperparameters that were searched through include: number of trees in the forest; number of data points per node before it must be split; minimum number of data points allowed in a leaf node; the maximum number of levels of each tree; and with or without replacement. Thereafter, the model is then retrained using the new-found ‘best’ hyperparameters
Dedja,K., Pliakos,K., Vens,C., 2022. Explaining random forest prediction through diverse rulesets.
TIBCO Software. 2022. What is a Random Forest?. [online] Available at: https://www.tibco.com/reference-center/what-is-a-random-forest [Accessed 14 June 2022].
Yiu, T., 2019. Understanding Random Forest. [online] Medium. Available at: https://towardsdatascience.com/understanding-random-forest-58381e0602d2 [Accessed 3 June 2022].
(Ben)
# define models and parameters
model = LogisticRegression()
solvers = ['newton-cg', 'lbfgs', 'liblinear','sag','saga']
penalty = ['none','l2','l1','elasticnet']
c_values = [100, 10, 1.0, 0.1, 0.01,1e-05, 3, 0.1, 1e-4, 1e-2]
# define grid search
grid = dict(solver=solvers,penalty=penalty,C=c_values)
cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1)
grid_search = GridSearchCV(estimator=model, param_grid=grid, n_jobs=-1, cv=cv, scoring='accuracy',error_score=0)
LR_trained_tuned = grid_search.fit(X_train_LR, Y_train)
LR_tuned = grid_search.best_estimator_
# summarize results
print("Best result of %f using %s" % (LR_trained_tuned.best_score_, LR_trained_tuned.best_params_))
means = LR_trained_tuned.cv_results_['mean_test_score']
stds = LR_trained_tuned.cv_results_['std_test_score']
params = LR_trained_tuned.cv_results_['params']
Y_pred = LR_trained_tuned.predict(X_test_LR)
submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': Y_pred})
submit.to_csv("submissionLR.csv", index = False)
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 454, in _check_solver
raise ValueError(
ValueError: penalty='none' is not supported for the liblinear solver
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py:1322: UserWarning: Setting penalty='none' will ignore the C and l1_ratio parameters
warnings.warn(
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_sag.py:328: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
warnings.warn("The max_iter was reached which means "
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got l1 penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 450, in _check_solver
raise ValueError("Only 'saga' solver supports elasticnet penalty,"
ValueError: Only 'saga' solver supports elasticnet penalty, got solver=liblinear.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver sag supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1314, in fit
raise ValueError("l1_ratio must be between 0 and 1;"
ValueError: l1_ratio must be between 0 and 1; got (l1_ratio=None)
warnings.warn("Estimator fit failed. The score on this train-test"
Best result of 0.793186 using {'C': 0.1, 'penalty': 'l1', 'solver': 'liblinear'}
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py:615: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
Traceback (most recent call last):
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 598, in _fit_and_score
estimator.fit(X_train, y_train, **fit_params)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 1306, in fit
solver = _check_solver(self.solver, self.penalty, self.dual)
File "/Applications/anaconda3/lib/python3.9/site-packages/sklearn/linear_model/_logistic.py", line 443, in _check_solver
raise ValueError("Solver %s supports only 'l2' or 'none' penalties, "
ValueError: Solver newton-cg supports only 'l2' or 'none' penalties, got elasticnet penalty.
warnings.warn("Estimator fit failed. The score on this train-test"
Explanation
The results after tuning 4 of the models, as well as the original cross-validation scores for the models that were utilised but not tuned.
cross_val_results = []
cross_val_losses = []
# Train using each model, finding accuracy and loss. :
cross_val_results.append(cross_val_score(RF_tuned, X_train_RF, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(RF_tuned, X_train_RF, Y_train, scoring = 'neg_log_loss', cv = 5))
cross_val_results.append(cross_val_score(KNN_tuned, X_train, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(KNN_tuned, X_train, Y_train, scoring = 'neg_log_loss', cv = 5))
cross_val_results.append(cross_val_score(LR_tuned, X_train_LR, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(LR_tuned, X_train_LR, Y_train, scoring = 'neg_log_loss', cv = 5))
cross_val_results.append(cross_val_score(MLP_tuned, X_train, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(MLP_tuned, X_train, Y_train, scoring = 'neg_log_loss', cv = 5))
remaining_classifiers = [
GaussianNB(),
SVC(),
SGDClassifier(),
LinearSVC(),
]
for classifier in remaining_classifiers:
cross_val_results.append(cross_val_score(classifier, X_train, Y_train, scoring = 'accuracy', cv = 5))
cross_val_losses.append(cross_val_score(classifier, X_train, Y_train, scoring = 'neg_log_loss', cv = 5))
# Mean and standard deviation of cross validation results for each classifier
cross_val_mean = []
cross_val_std = []
cross_val_loss_mean =[]
cross_val_loss_std = []
for cross_val_result in cross_val_results:
cross_val_mean.append(cross_val_result.mean())
cross_val_std.append(cross_val_result.std())
for cross_val_loss in cross_val_losses:
cross_val_loss_mean.append(cross_val_loss.mean())
cross_val_loss_std.append(cross_val_loss.std())
#putting our cross val mean and standard deviation for each algorithm into a data frame
cross_val_res = pd.DataFrame({'Cross Validation Mean': cross_val_mean, 'Cross Validation Std': cross_val_std, 'Algorithm': [ 'Random Forest', 'K Nearest Neighbours','Logistic Regression','Multilayer perceptron','Naive Bayes', 'Support Vector Machines', 'Stochastic Gradient Decent', 'Linear SVC']})
cross_val_los = pd.DataFrame({'Cross Validation Mean': cross_val_loss_mean, 'Cross Validation Std': cross_val_loss_std, 'Algorithm': [ 'Random Forest', 'K Nearest Neighbours','Logistic Regression','Multilayer perceptron','Naive Bayes', 'Support Vector Machines', 'Stochastic Gradient Decent', 'Linear SVC']})
print('Table Showing Cross Validation Mean Accuracy')
print(cross_val_res.sort_values(by = 'Cross Validation Mean', ascending = False, ignore_index = True))
print('\nTable Showing Cross Validation Mean Loss')
print(cross_val_los.sort_values(by = 'Cross Validation Mean', ascending = True, ignore_index = True))
The tuned algorithms show improvement in accuracy as compared to before being tuned.
If cross-val scores were above 80 and the loss was above -2, assign a weighting of 2. Otherwise 1.
#train the other models now with no validation set to be used in the ensemble
GNBtrained=GaussianNB().fit(X_train, Y_train)
SVCtrained=SVC().fit(X_train, Y_train)
LSVCtrained=LinearSVC().fit(X_train, Y_train)
SGDtrained=SGDClassifier().fit(X_train, Y_train)
voting_classifier_hard = VotingClassifier(estimators = [('mlp',MLP_trained_tuned),('knn',KNN_trained_tuned),('knn2',KNN_trained_tuned),('lg',LR_trained_tuned),('rf',RF_trained_tuned),('rf2',RF_trained_tuned),('gnb',GNBtrained),('svc',SVCtrained),('svc2',SVCtrained),('lsvc',LSVCtrained),('sgd',SGDtrained)], voting = 'hard')
voting_classifier_hard_trained=voting_classifier_hard.fit(X_train, Y_train)
survival_predications=voting_classifier_hard_trained.predict(X_test)
CV = cross_val_score(voting_classifier_hard,X_train,Y_train,cv=5)
print('voting classifier cross validation score :',CV)
print('voting classifier cross validation score mean :',CV.mean())
print('voting classifier cross validation score standard deviation :',CV.std())
We want our submission dataframe to have 418 rows and 2 columns, PassengerId and Survived.
# Create submission dataframe
submit = pd.DataFrame({'PassengerId': test['PassengerId'], 'Survived': survival_predications})
submit.head()
Our dataframe is ready for submission!
# Create and save csv file
submit.to_csv("submission.csv", index = False)